GuanSuns / ASGRLLinks
Official python implementation of ASGRL in ICML 2022 paper: Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
☆20Updated 3 years ago
Alternatives and similar repositories for ASGRL
Users that are interested in ASGRL are comparing it to the libraries listed below
Sorting:
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆143Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆78Updated 2 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆131Updated 3 years ago
- Representation Learning for RL☆127Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆137Updated last year
- Simple maze environments using mujoco-py☆56Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆173Updated 11 months ago
- ☆55Updated 4 years ago
- ☆71Updated last year
- Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020☆215Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated 2 years ago
- Logically-Constrained Reinforcement Learning☆54Updated last year
- This repository accompanies the following paper: A Workflow for Offline Model-Free Robotic RL☆11Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆151Updated 2 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆71Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆37Updated 2 years ago
- ☆57Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆30Updated 2 years ago
- ☆55Updated 3 months ago
- DMControl Generalization Benchmark☆177Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆107Updated last year
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆43Updated last year
- PyTorch implementation of (Deep) Reinforcement Learning (RL) algorithms☆25Updated 3 years ago
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆72Updated 2 months ago
- Paper Collection for Imitation Learning in RL.☆149Updated 3 years ago
- Partially Observable Process Gym☆202Updated 4 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆66Updated last year